Wiranova AI Cognitive Systems
Wiranova Educative AI · Pilot

The cognitive system for running your educational institution.

Connect attendance, school meals, student conduct, and family communication for your institution in a single system, with human control over every sensitive decision.

Wiranova Educative AI robot

The problem

An educational institution's operations live scattered across processes and people.

Attendance, school meals, student conduct, and family communication usually live in separate spreadsheets, channels, and people, with no shared record.

Attendance tracking relies on manual processes

Taking attendance by hand or in loose spreadsheets leaves room for error and doesn't connect to absence follow-up.

Cafeteria verification has no single record

Confirming who received lunch, with which menu, and in which shift is handled case by case, with no shared traceability.

Attendance and conduct alerts aren't centralized

An early warning sign can go unaddressed if it doesn't reach the right person in time.

Family communication happens over scattered channels

Every message or request from a guardian ends up in a different channel, with no shared traceability.

How the ecosystem applies

Wiranova's layers put to work for your institution.

Wiranova Educative AI applies a subset of Wiranova's twelve-layer ecosystem to the real processes of an educational institution.

OperationsGovernanceInfrastructure
A-01 · Operations

Specialized agents

Each process serves a specific function: attendance, school meals, grades, student conduct, library, transportation.

A-03 · Operations

Conversational channels

Communication and notifications to families, with a read-only guardian portal.

G-03 · Governance

Human escalation

Attendance or conduct alerts turn into an intervention plan that coordination reviews, assigns, and approves.

N-01 · Infrastructure

Isolation and security

Each institution operates in an isolated space, with role-based access: administrators, coordinators, teachers, cafeteria staff, and guardians.

A day in the operation

An alert that becomes a plan, with a person in charge.

CasoAbsence alert with an intervention planEjemplo ilustrativo

07:40ATTENDANCEThe attendance record flags an unexcused absence.
07:41ALERTThe system generates an automatic alert once the institution's configured absence threshold is exceeded.
07:42PLANThe alert becomes an intervention plan, with the case's evidence attached.
07:42ESCALATIONThe plan is sent to coordination to assign participants and actions, without executing on its own.

Human control

AI recommends. People decide.

Your institution's sensitive decisions stay under human supervision, with context and evidence in full view.

CaseAbsence alert with an intervention planSensitive decision
Context

Which student crossed the configured absence threshold, and at which institution.

Evidence

The attendance history and the evidence logged in the intervention plan.

Recommended action

The system builds an intervention plan with suggested actions, without executing them on its own.

Human decision

Coordination assigns participants and approves, adjusts, or closes the actions. Everything is logged.

How we work

Guided implementation, phase by phase.

You start with one mission, not everything at once. No technical knowledge required on your part.

01

Diagnostic

We map your operation's signals, friction points, and opportunities.

02

System design

We define the layers, flows, and boundaries for your case.

03

Pilot

A first cognitive mission — controlled and measurable.

04

Scaling

More layers, more memory, more operations under control.

Frequently asked questions

Before you start the diagnostic.

Your next step

Start your institution's diagnostic.

Tell us about your institution

No automatic commitments · Our team replies within 24–48 hours